Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. In a recent paper published in Nature Machine Intelligence, UCLA's Volgenau Professor for Engineering Innovation Aydogan Ozcan and his research team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Artificial intelligence has revolutionized the imaging process across various fields — from photography to sensing.

https://www.miragenews.com/ai-masters-physics-to-recreate-microscopic-1061234/

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